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Why you should use high frequency data to test the impact of exchange rate on trade

dc.contributor.authorShaar, Karam
dc.contributor.authorKhaled, Mohammed
dc.date.accessioned2017-03-08T23:10:33Z
dc.date.accessioned2022-07-11T21:21:30Z
dc.date.available2017-03-08T23:10:33Z
dc.date.available2022-07-11T21:21:30Z
dc.date.copyright2017
dc.date.issued2017
dc.description.abstractThis study suggests that testing the impact of exchange rate on trade should be done using high frequency data. Using different data frequencies for identical periods and specifications between the US and Canada, we show that low frequency data might suppress and distort the evidence of the impact of exchange rate on trade in the short-run and the long-run.en_NZ
dc.formatpdfen_NZ
dc.identifier.urihttps://ir.wgtn.ac.nz/handle/123456789/20137
dc.language.isoen_NZ
dc.publisherTe Herenga Waka—Victoria University of Wellingtonen_NZ
dc.relation.ispartofseriesSEF Working paper ; 02/2017en_NZ
dc.rights.rightsholderhttp://www.victoria.ac.nz/sef/research/sef-working-papersen_NZ
dc.subjectData frequencyen_NZ
dc.subjectExchange rate and tradeen_NZ
dc.subjectJ-Curve Theoryen_NZ
dc.subjectARDL Cointegrationen_NZ
dc.subjectUS-Canada tradeen_NZ
dc.titleWhy you should use high frequency data to test the impact of exchange rate on tradeen_NZ
dc.typeTexten_NZ
vuwschema.contributor.unitSchool of Economics and Financeen_NZ
vuwschema.subject.anzsrcfor140210 International Economics and International Financeen_NZ
vuwschema.subject.anzsrcforV2350207 International financeen_NZ
vuwschema.subject.anzsrcforV2380110 International economicsen_NZ
vuwschema.type.vuwWorking or Occasional Paperen_NZ

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